Methods and systems are provided for performing material capture to determine properties of an imaged surface. A plurality of images can be received depicting a material surface. The plurality of images can be calibrated to align corresponding pixels of the images and determine reflectance information for at least a portion of the aligned pixels. After calibration, a set of reference materials from a material library can be selected using the calibrated images. The set of reference materials can be used to determine a material model that accurately represents properties of the material surface.
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3. The computer-implemented method of claim 2, wherein determining the reflectance information includes finding lighting and view directions for at least one pixel of the plurality of images based on a camera position associated with the at least one pixel.
5. The computer-implemented method of claim 4, wherein determining the surface normal estimate comprises utilizing a local neighborhood search of a grid based on elevation and azimuth angles of the reference materials.
6. The computer-implemented method of claim 4, wherein determining the material coefficient abundance estimate comprises utilizing a non-negative least squares approach based on the surface normal estimate.
8. The computer-implemented method of claim 1, wherein selecting the reference materials comprises generating a sparse response curve for a library of reference materials, and selecting the reference materials based on a response on the sparse response curve.
9. The computer-implemented method of claim 1, wherein transferring the properties of the reference materials comprises building a material model based on the properties of the reference materials, and applying the material model to the second surface of the computer-generated object.
14. The non-transitory computer-readable storage device of claim 13, wherein the surface normal estimate is determined based on elevation and azimuth angles of the reference materials.
15. The non-transitory computer-readable storage device of claim 13, wherein the material coefficient abundance estimate is determined based on a non-negative least squares approach associated with the surface normal estimate.
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October 26, 2020
June 20, 2023
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